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Data Scientist With Python Jobs

Data Engineer With Aws S3 And Python
By TekJobs At United States
Role : Data Engineer with AWS S3 and Python Experience.
•Have expert knowledge in Spark to help process data before it's moved to S3/Snowflake.
Expert-level experience with Spark, Python, PySpark and AWS
“Required” tech stack and other related details:
Data Scientist - Python - Ai/Ml
By BAE Systems, Inc. At McLean, VA, United States
Required Education, Experience, & Skills
Preferred Education, Experience, & Skills
Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
Experience working with data manipulation, analytic/business insight tools, and data visualization experience
Experience with SciPy stack or Tidyverse packages
Experience constructing and performing complex database search queries
Mid-Level Python Developer With Data Science & Generative Ai
By DbCom Inc. At United States
- Experience with Generative AI technologies like Langchain and Pinecone is highly desirable.
- Knowledge of Terraform is a plus but not mandatory.
- Strong problem-solving skills and the ability to work independently and collaboratively withdifferent teams.
- Excellent communication skills to effectively interact with stakeholders from various companies and communicate technical concepts effectively.
: Mid-Level Python Developer with Data Science & Generative AI
- Proven expertise in Python programming, data manipulation, and analysis.
Data Scientist Sql/Python
By Dice At Dallas, TX, United States
Business Requirement Document writing experience - nice to have
Power Point skills to present data analysis
Day One OnSite Position. THIS IS NOT A REMOTE ROLE
Dallas and, 2) New Jersy
Python Scripting (Pandas, Scikit, Numpy etc.)
Interview: 1 Phone + 1 On Site
Data Engineer With Python
By Zirlen Technologies Inc., At Pittsburgh, PA, United States
Revising python scripts by understanding the functionality based on business requirements.
Attend business meetings to understand CCAR road map to get technical requirements.
Design, develop and implement Machine Learning models.
Use Python programming language to perform automated tasks to check Capital Analysis and Review.
Use moules like Pandas, NumPy, for data manipulation and analysis.
Use Machine Learning tools such as Apache Airflow to perform automated tasks by writing programs in Python.
Data Scientist With Polygraph
By Deloitte At Arlington, VA, United States
Experience with Project Management Methodologies
Experience with Digital Data Science
Experience with Tableau and MySQL
Must be legally authorized to work in the United States without the
Must be able to maintain the required clearance for this role
Data Scientist With Ai (Artificial Intelligence)
By Q1 Technologies, Inc. At Austin, TX, United States
Extensive hands on experience with Python, SQL, MS Excel. Practical work experience of machine learning model development & deployment in Python
Exposure/Experience to ML Ops concepts
Experience on AI/ML model development competencies inclusive (but not limited to) of data science models as below:
·Requirement gathering from stakeholders & ability to translate business problems to analytical problem and suggest analytical solutions/approach.
·Apply industry knowledge to interpret data and improve performance
·Data science solution development & manage and execute data science PoCs, Pilots and projects
Data Engineer With Python
By TekValue IT Solutions At Houston, TX, United States
Need to have solid Python experience.
Should have Data Engineer experience
Should have good communication skills
Client is focusing mostly on migrating from Oracle to NoSQL using Python.
Need strong Experince on python
Master Data Scientist With Azure Openai
By M2S Tech Solutions At United States
Strong critical thinking skills with the ability to translate business requirements into technical solutions.
. AI/ML, a deep understanding of Azure Cloud services, and excellent problem-solving abilities.
Understand business requirements for the
Knowledge of statistical analysis, hypothesis testing, and experimental design.
Experience with marketing datasets and understanding of marketing concepts is desirable.
Master Data Scientist will be responsible for working on Azure Cloud to fine-tune the Model in
Associate Data Scientist-Sql, Python, Pyspark
By Oracle At United States
· Minimum of 3+ years industry experience in data science work including data management, transformation, and visualization
· At least 3 years of work experience with SQL, Python, or PySpark
· Experience building complex data sets from multiple data sources, both internally and externally
· At least 1 year of work experience with Cloud technologies, like AWS, Azure, or OCI
· At least 1 year of work experience with Big Data tools, like Databricks, Jupyter Notebooks
· Proficient in communicating effectively with both technical and nontechnical stakeholders
Python Engineer With Data Engineering Skills
By DataArt At , Remote
Experience with storage: Oracle, Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
Experience with Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform
Proven passion for building and learning: open source contributions, pet projects, self-education, Stack Overflow
Building well-tested and optimized ETL data pipelines for both full and delta extraction
Collaborating with data analysts and learning scientists to store, aggregate, and calculate captured students’ work
Contributing to leading industry data standards, such as Caliper Analytics or xAPI
Data Engineer With Python Experience ( Pst)
By Prodware Solutions At California, United States
Location: - California, Remote role
Development and optimization of advanced analytics capabilities, including but not limited to predictive and resource optimization models
Role: - Data Engineer with Python ( PST time)
Type of hire: - Contract
Preferred independent Visa candidates (W2 or 1099)
·Python needs to be 10/10 . very important .. apart from SQL and Hive exp
Data Scientist With Supply Chain
By Radiansys Inc. At United States
Additional supply chain education, training and/or certification through Massive Open Online Courses (MOOCS) and/or professional organizations.
Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL.
Knowledge of machine learning algorithms such as Random Forests, SVM, neural networks, etc.
Minimum 10 years exp, Need Strong Supply Chain Background
Self-motivated individual who functions well solo and within a team.
Ability to use open-source languages and/or algorithms for model development.
Data Scientist I - Python
By CNH Industrial At La Canada Flintridge, CA, United States
Use our data platform to continually develop new analytics, automating the generation of customer experience insights.
Experience using python to interact with both SQL and NoSQL databases.
Experience in Git and CI/CD
Generate high quality, professional visualizations that empower customers to draw concrete, data-driven insights that are passionate about the customer.
Analyze and interpret data to address a given problem by closely collaborating with agricultural subject matter authorities.
Research, develop, evaluate, and deploy the appropriate machine learning or statistical models to a given problem.
Tableau With Python Jobs
By Zuplon At New York, NY, United States
Experience with SQL and database management
Strong analytical skills and ability to translate business requirements into technical solutions
Create data models and manage data sources to ensure data integrity
2+ years of experience in developing Tableau visualizations
Excellent communication skills and ability to work collaboratively with a team
Experience with data science and machine learning techniques

Are you looking for an exciting opportunity to use your Python skills to make an impact? We are looking for a Data Scientist with Python experience to join our team and help us uncover insights from our data. You will be responsible for developing and deploying data-driven solutions to solve complex business problems. If you have a passion for data and a drive to make a difference, then this is the perfect job for you!

Overview Data Scientist with Python is a professional who uses data science techniques and tools to analyze data and develop insights and solutions to business problems. They use Python programming language to create data models, develop algorithms, and create data visualizations. They also use machine learning and artificial intelligence to develop predictive models and insights. Detailed Job Description Data Scientist with Python is responsible for developing and implementing data science solutions to business problems. They use Python programming language to create data models, develop algorithms, and create data visualizations. They also use machine learning and artificial intelligence to develop predictive models and insights. They analyze data from various sources and develop insights and solutions to business problems. They also collaborate with other teams to develop data-driven solutions. Job Skills Required
• Proficiency in Python programming language
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Ability to analyze data from various sources
• Ability to develop insights and solutions to business problems
• Ability to collaborate with other teams
• Knowledge of data visualization tools
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• At least 3 years of experience in data science
• Proficiency in Python programming language
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Ability to analyze data from various sources
• Ability to develop insights and solutions to business problems
• Ability to collaborate with other teams
• Knowledge of data visualization tools
Job Knowledge
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Knowledge of data visualization tools
• Knowledge of data mining and analysis
• Knowledge of database systems
• Knowledge of statistical analysis
Job Experience
• At least 3 years of experience in data science
• Experience in developing data models and algorithms
• Experience in creating data visualizations
• Experience in developing predictive models and insights
• Experience in collaborating with other teams
Job Responsibilities
• Develop data models and algorithms using Python programming language
• Create data visualizations to present insights
• Develop predictive models and insights using machine learning and artificial intelligence
• Analyze data from various sources to develop insights and solutions to business problems
• Collaborate with other teams to develop data-driven solutions
• Monitor and maintain data models and algorithms
• Keep up to date with the latest